Since 2019, the annual production of LGN has been started. LGN2018 was the first result of this renewal with a representation of the land use for the reference year 2018. The LGN2019 and LGN2020 databases are the second respectively third database in the series of annually produced LGN databases.
What is LGN2018, LGN2019 and LGN2020?
The LGN2018, 2019 and 2020 databases are grid files that show the land use of the Netherlands for the reference years 2018, 2019 and 2020, respectively. The spatial and thematic detail, 5 x 5 meters and 48 land use classes, respectively, have remained the same for these three databases. However, based on the most recent versions of the Basic Registration of Parcels and the Basic Registration Topography (BRT or Top10NL), the LGN2018 database has been updated for the reference years 2019 and 2020. Land use within nature areas has not been updated. In the production of the LGN2019 and LGN2020 databases, the same methodology has been used as for LGN2018, which has considerably accelerated the production process.
LGN2018 was taken as the basis for the production of LGN2019/LGN2020 and the same methodology was used. By using the most recent versions of the Basic Registration Parcels (BRP2019 respectively BRP2020) and the Basic Registration Topography (BRT or Top10NL version November 2019 respectively 2020) it is possible to monitor different type of changes at individual LGN class level. For example, changes between different crops, greenhouses, orchards, orchards and fruit farms, changes to urban classes and changes in forest and swamp areas can now be tracked over time. Certain changes to new nature (forest, heath, sand, (partly) natural grasslands) can also be monitored. However, changes between nature classes and changes to nature classes, which are based on satellite and/or altitude information, cannot be tracked. The nature classification for LGN2018, which was based on the classification of satellite images from 2018 and AHN2/3 databases, has not been updated. In addition to monitoring changes at the level of the individual LGN classes, monitoring is also possible at the level of the aggregated LGN monitoring classes.